22 citations · 36 across the 7 of their papers we have counts for
4 papers · 1 filter
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu, Kai Li, Weiyi Zhang +3
Recent advances in the design of neural network architectures, in particular those specialized in modeling sequences, have provided significant improvements in speech separation pe…
Plot2Spectra: an Automatic Spectra Extraction Tool
Weixin Jiang, Eric Schwenker, Trevor Spreadbury +3
Different types of spectroscopies, such as X-ray absorption near edge structure (XANES) and Raman spectroscopy, play a very important role in analyzing the characteristics of diffe…
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
Zhuqing Jiang, Chang Liu, Ya'nan Wang +4
With the goal of tuning up the brightness, low-light image enhancement enjoys numerous applications, such as surveillance, remote sensing and computational photography. Images capt…
Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References
Ya'nan Wang, Zhuqing Jiang, Chang Liu +3
It is suggested that low-light image enhancement realizes one-to-many mapping since we have different definitions of NORMAL-light given application scenarios or users' aesthetic. H…